MixAll: Clustering and Classification using Model-Based Mixture Models
Version 1.4.3

Algorithms and methods for model-based clustering and classification. It supports various types of data: continuous, categorical and counting and can handle mixed data of these types. It can fit Gaussian (with diagonal covariance structure), gamma, categorical and Poisson models. The algorithms also support missing values. This package can be used as an independent alternative to the (not free) 'mixtcomp' software available at .

Package details

AuthorSerge Iovleff [aut, cre], Parmeet Bathia [ctb]
Date of publication2018-04-07 13:17:45
MaintainerSerge Iovleff <[email protected]>
LicenseGPL (>= 2)
Version1.4.3
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("MixAll", repos="http://R-Forge.R-project.org")

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MixAll documentation built on April 7, 2018, 3:01 p.m.